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Record W3135484962 · doi:10.5430/rwe.v12n2p258

The Successes and Challenges of Kenya’s Mombasa-Nairobi Standard Gauge Railway Transport Operations: A Special Reference to the Users

2021· article· en· W3135484962 on OpenAlex
Nancy Muthoni Githaiga

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch in World Economy · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsLast mile (transportation)Transport engineeringMileMode of transportPassenger transportPopulationBusinessUnit (ring theory)Public transportEngineeringGeography

Abstract

fetched live from OpenAlex

This article examined the successes and challenges of Kenya’s standard gauge railway for users in transport operations. The constrained operations in Kenya’s existing colonial railway system have contributed to connectivity barriers and inefficiencies in the transport sector. Standard Gauge Railway’s construction aimed to address these gaps and facilitate cargo and passenger transport operations in Kenya and across borders. This study used a descriptive research design in the form of a survey and adopted a mixed research method of qualitative and quantitative data with primary data collected through questionnaires and interviews. The population of interest was the train users (passengers and cargo transporters). The findings suggested that the railway has generally enhanced transport operations for passengers and freight through reduced travelling time, improved transport safety and security, and improved mobility and accessibility. While the SGR has led to reduced travel costs for passengers, the cost of freight transport remains relatively high.The SGR has provided an alternative for freight and passenger transport, but there are challenges such as logistical and administrative challenges in cargo clearance, ticketing issues, and passengers' “First mile and Last mile” challenges. While the improvement of physical transport infrastructure and connectivity is significant, these challenges should be transformed into enablers to realize the railway’s full potential. This research, therefore, recommends for; effective transfer of the cargo clearance and forwarding paperwork from Mombasa to Nairobi; development of a transport link between the railway and the two major cities to solve the “first mile” and “last mile” transport challenges for passengers, and to audit the ticketing system to identify and sanction cartels involved in ticketing malpractices. The overall conclusion is that generally, the railway has added value in Kenya’s transport sector; passengers now have a cheaper, reliable and safer mode of transport while cargo is transported in a more reliable and safer way. The SGR is thus a transformative infrastructural project for Kenya; it symbolizes a country on a pressing need to transform herself into a middle-income economy supported by modern infrastructure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.090
GPT teacher head0.305
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it